Search Results - "Sellami, Lamia"

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  1. 1

    A novel approach to enhance feature selection using linearity assessment with ordinary least squares regression for Alzheimer’s Disease stage classification by Mabrouk, Besma, Bouattour, Nadia, Mabrouki, Noura, Sellami, Lamia, Ben Hamida, Ahmed, for the Alzheimer’s Disease Neuroimaging Initiative

    Published in Multimedia tools and applications (01-11-2024)
    “…Diagnosing Alzheimer’s disease (AD) in its prodromal stage is a significantly crucial area of research. Approximately 50% of individuals within the well-known…”
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    Journal Article
  2. 2

    Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction by Ghribi, Olfa, Sellami, Lamia, Slima, Mohamed Ben, Mhiri, Chokri, Dammak, Mariem, Hamida, Ahmed Ben

    Published in Biomedical signal processing and control (01-02-2018)
    “…[Display omitted] •Automatic method for MS lesion exploration based on MRI sequences fusion.•Advanced volumetric feature extraction techniques.•Advanced…”
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    Journal Article
  3. 3

    Enhancing Breast Cancer Detection through Advanced Deep Learning: An Application of YOLOv8x on Mammographic Images by Alhsnony, Farag H., Sellami, Lamia

    “…This study explores the potential of advanced deep learning techniques, specifically the YOLOv8 architecture, for enhancing breast cancer detection within…”
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    Conference Proceeding
  4. 4

    Advancing Breast Cancer Detection with Convolutional Neural Networks: A Comparative Analysis of MIAS and DDSM Datasets by Alhsnony, Farag H., Sellami, Lamia

    “…In this research, we present a Convolutional Neural Network (CNN) model designed to improve the detection and classification of breast cancer from mammographic…”
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    Conference Proceeding
  5. 5

    Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system by Ghribi, Olfa, Maalej, Amira, Sellami, Lamia, Ben Slima, Mohamed, Maalej, Mohamed Ayman, Ben Mahfoudh, Khaireddine, Dammak, Mariem, Mhiri, Chokri, Ben Hamida, Ahmed

    Published in Biomedical signal processing and control (01-03-2019)
    “…•Automatic brain segmentation and MS lesion exploration.•Advanced lesion parts discrimination into nucleus and edema.•An automatic lesion classification…”
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    Journal Article
  6. 6

    Transfer Learning Models for MRI-Based Brain Tumor Detection by Berete, Moriba, Echtioui, Amira, Sellami, Lamia, Hamida, Ahmed Ben

    “…Human health, especially brain health, is paramount for overall well-being. Magnetic Resonance Imaging (MRI) serves as a vital diagnostic tool for assessing…”
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    Conference Proceeding
  7. 7

    New and optimal set up for 3D-based stereovision system for manufacturing inspection in 4.0 industry by Salah, Yosri Ben, Weiguo, Liu, Sellami, Lamia, Hamida, Ahmed Ben, Ailing, Tian

    “…The manufacturing industry faces unprecedented progress accompanied with numerous challenges. For instance, Inspections of castings and forgings require the…”
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    Conference Proceeding
  8. 8

    fMRI Imaging Based Human Brain Parcellation Methods: A review by Abdedayem, Fatma, Kallel, Fathi, Chaabane, Marwa, Hamida, Ahmed Ben, Sellami, Lamia

    “…In the context of functional magnetic resonance imaging (fMRI) images, human brain parcellation is a very critical issue for human brain network generation,…”
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    Conference Proceeding
  9. 9

    A classification approach to prostate cancer localization in 3T multi-parametric MRI by Trigui, Rania, Miteran, Johel, Sellami, Lamia, Walker, Paul, Ben Hamida, Ahmed

    “…Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a…”
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    Conference Proceeding
  10. 10

    Effets des ions lourds hyperthermiques sur l'ADN et ses composés by Sellami, Lamia

    Published 01-01-2007
    “…Contrairement aux rayonnements conventionnels (électrons, rayons X) dont le profil de dose délivrée aux tissus décroît avec la profondeur traversée, celui des…”
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    Dissertation
  11. 11

    Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake by Ben Sassi, Olfa, Sellami, Lamia, Ben Slima, Mohamed, Ben Hamida, Ahmed, Chtourou, Khalil

    “…This study aims to apply a novel method called Multi-scale Vector Field Convolution Snake (MVFC) to segment breast ultrasound images using all slices…”
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    Conference Proceeding
  12. 12

    PGVF-ACM automatic segmentation of PET images for breast cancer characterization by Sahnoun, Fatma, Zouch, Wassim, Ketata, Ines, Sellami, Lamia, Ben Hamida, Ahmed

    “…Medical imaging research became an important field of investigation that could be very useful for clinical exploration, particularly for serious pathological…”
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    Conference Proceeding
  13. 13

    Photoluminescence study of gallium arsenide irradiated with 15 MeV alpha particles by Sellami, L., Aubin, M., Aktik, C., Carlone, C., Houdayer, A., Hinrichsen, P.

    Published in IEEE transactions on nuclear science (01-12-1999)
    “…Gallium arsenide wafers were irradiated at room temperature with 15 MeV alpha particles and fluences in the range 10/sup 10/ to 10/sup 14/ /spl alpha//cm/sup…”
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    Journal Article
  14. 14

    Effet de l'irradiation par des particules alpha sur l'arséniure de gallium by Sellami, Lamia

    Published 01-01-2000
    “…Dans ce travail, on présentera l'étude de l'effet de l'irradiation par les particules alpha énergétiques sur l'arséniure de gallium (GaAs). Dans ce but, on a…”
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    Dissertation
  15. 15

    An Advanced MRI Multi-Modalities Segmentation Methodology Dedicated to Multiple Sclerosis Lesions Exploration and Differentiation by Ghribi, Olfa, Sellami, Lamia, Ben Slima, Mohamed, Ben Hamida, Ahmed, Mhiri, Chokri, Ben Mahfoudh, Keireddine

    Published in IEEE transactions on nanobioscience (01-12-2017)
    “…Multiple sclerosis (MS) is one of the most common neurological diseases in young people. This paper dealt with an automatic biomedical aided tool involving…”
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    Magazine Article
  16. 16

    Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization by Sellami, Lamia, Ben Sassi, O., Chtourou, Khalil, Ben Hamida, A.

    Published in IEEE transactions on nanobioscience (01-10-2015)
    “…This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that…”
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    Magazine Article